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        The Ethics of AI

        Power, Critique, Responsibility

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        Author(s)
        Mühlhoff, Rainer
        Language
        English
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        Abstract
        Available open access digitally under CC-BY-NC-ND licence. In a world where artificial intelligence increasingly influences the fabric of our daily lives, this accessible book offers a critical examination of AI and its deep entanglement with power structures. Rather than focusing on doomsday scenarios, it emphasises how AI impacts our everyday interactions and social norms in ways that fundamentally reshape society. By examining the different forms of exploitation and manipulation in the relationship between humans and AI, the book advocates for collective responsibility, better regulation and systemic change. This is a resounding manifesto for rethinking AI ethics through a power-aware lens. With detailed analysis of real-world examples and technological insights, it is essential reading for anyone invested in the future of AI policy, scholarly critique and societal integration.
        URI
        https://library.oapen.org/handle/20.500.12657/102843
        Keywords
        Artificial intelligence;Ethics of AI;Digital methods;Machine learning;Prediction;Cybernetics;Bias;Computer;Human-aided AI;Predictive AI analytics
        ISBN
        9781529249262, 9781529249255, 9781529249248, 9781529249255
        Publisher
        Bristol University Press
        Publisher website
        https://bristoluniversitypress.co.uk/
        Publication date and place
        Bristol, 2025
        Classification
        Digital and information technologies: social and ethical aspects
        Impact of science and technology on society
        Artificial intelligence
        Ethical issues: scientific, technological and medical developments
        Pages
        233
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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